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园艺学报 ›› 2022, Vol. 49 ›› Issue (1): 175-186.doi: 10.16420/j.issn.0513-353x.2021-0312

• 研究报告 • 上一篇    下一篇

建兰种质资源遗传多样性分析及核心种质构建

陈明堃1, 陈璐1, 孙维红2, 马山虎1, 兰思仁1, 彭东辉1, 刘仲健1, 艾叶1,*()   

  1. 1福建农林大学园林学院,兰科植物保护与利用国家林业和草原局重点实验室,福州 350002
    2福建农林大学林学院,福州 350002
  • 收稿日期:2021-05-09 修回日期:2021-11-26 出版日期:2022-01-25 发布日期:2022-01-24
  • 通讯作者: 艾叶 E-mail:aiyefafu@163.com
  • 基金资助:
    国家重点研发计划项目(2019YFD1000400);福建农林大学杰出青年科研人才计划项目(xjq201910);国家自然科学基金项目(31700618)

Genetic Diversity Analysis and Core Collection of Cymbidium ensifolium Germplasm Resources

CHEN Mingkun1, CHEN Lu1, SUN Weihong2, MA Shanhu1, LAN Siren1, PENG Donghui1, LIU Zhongjian1, AI Ye1,*()   

  1. 1Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization,College of Landscape Architecture,Fujian Agriculture and Forestry University,Fuzhou 350002,China
    2College of Forestry,Fujian Agriculture and Forestry University,Fuzhou 350002,China
  • Received:2021-05-09 Revised:2021-11-26 Online:2022-01-25 Published:2022-01-24
  • Contact: AI Ye E-mail:aiyefafu@163.com

摘要:

研究记录了311份建兰(Cymbidium ensifolium)种质资源的萼片、花瓣、唇瓣颜色以及叶艺、瓣型和唇瓣斑点等质量性状的表型特征,并对其进行赋值和统计分析;利用22对SSR荧光引物对311份建兰种质资源进行PCR扩增,分析其遗传多样性;利用Structure软件分析建兰种质资源的群体结构,采用主成分分析和聚类分析进行验证;运用Core Finder软件和t检验分析并筛选核心种质。结果表明:311份建兰种质资源的6个质量性状的表型遗传多样性均大于0.5,表明建兰种质资源的表型具有丰富的遗传变异;22对SSR荧光引物共检测到171个等位基因(Na),平均有效等位基因数(Ne)为2.729,Shannon’s信息指数()为1.026,表明建兰种质资源具有丰富的遗传多样性;Structure软件分析结果显示最优的群体数K值为3,群体间有少量种质混杂;群体结构分析将建兰种质资源分为3个类群,主成分分析和聚类分析进一步验证了其分类的可靠性。本研究中构建的建兰核心种质51份占原有种质资源的16.4%,等位基因数(Na)保留率为100%,有效等位基因数(Ne)保留率为130%,Shannon’s信息指数()保留率为124%。通过t检验和主坐标分析发现,核心种质与原有种质的遗传多样性无显著差异,说明构建的51份核心种质能最大程度代表建兰种质资源的遗传多样性。

关键词: 建兰, 种质资源, 表型性状, SSR, 遗传多样性, 核心种质

Abstract:

The phenotypic characteristics of sepal color,petal color,lip color,leaf art,petal type and lip spot of 311 Cymbidium ensifolium germplasms were recorded,and the traits were assigned and statistically analyzed. Twenty-two pairs of SSR fluorescent primers were used to perform PCR amplification on 311 C. ensifolium germplasm resources in order to conduct genetic diversity analysis. Use Structure software to analyze the population structure of C. ensifolium germplasm resources,and principal component analysis and cluster analysis were employed for verification. Core collection was analyzed and screened by using Core Finder software and t-test. The results showed that the phenotypic genetic diversity of the six quality traits of 311 C. ensifolium germplasm resources were all greater than 0.5,indicating that the phenotype of C. ensifolium germplasm resources had abundant genetic variations. A total of 171 alleles(Na)were detected by 22 pairs of SSR fluorescent primers,the average of Ne was 2.729. High genetic diversity was revealed in the germplasm resources of C. ensifoliumI = 1.026). Structure software analysis results showed that the optimal population number K was three,and there is a small amount of germplasm mixing among the populations. The population structure analysis divided C. ensifolium germplasm resources into three groups. Principal component analysis and cluster analysis further verified the reliability of its classification. In this study,51 core collections of C. ensifolium were constructed,accounting for 16.4% of the initial collection,with the retention rate of Na,Ne,and I were 100%,130% and 124%,respectively. Through t-test and principal coordinate analysis showed that there was no significant difference between the genetic diversity of the core collection and initial collection. The 51 core collections constructed could represent the genetic diversity of C. ensifolium germplasm resources to the greatest extent.

Key words: Cymbidium ensifolium, germplasm resources, phenotypic traits, SSR, genetic diversity, core collection

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